tomatodata <-  c( 6.3, 7.2, 6.8, 5.4, 6.5, 5.9, 6.6, 6.5, 7.1, 7.0)

Take Avrg

mean(tomatodata)
## [1] 6.53

Take Median

median(tomatodata)
## [1] 6.55

Standard Deviation

sd(tomatodata) 
## [1] 0.5578729

Largest

max(tomatodata) 
## [1] 7.2

Smallest

min(tomatodata) 
## [1] 5.4

30th Percentile

quantile(tomatodata, 0.30) 
##  30% 
## 6.44

5-Number Summary

quantile(tomatodata)
##   0%  25%  50%  75% 100% 
## 5.40 6.35 6.55 6.95 7.20

interquartile range

IQR(tomatodata) 
## [1] 0.6

Histogram

hist(tomatodata)

Box Plot

boxplot(tomatodata)

Horizontal Box Plot

boxplot(tomatodata, horizontal=TRUE)

Output saying “Tomato Data is Awesome!”

print("Tomato data is awesome!") 
## [1] "Tomato data is awesome!"

Saying Mean Tomato size

print(paste("The mean tomato size is", mean(tomatodata)), sep = "") 
## [1] "The mean tomato size is 6.53"

Tidyverse

install.packages("tidyverse") 
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
## (as 'lib' is unspecified)

Load tidyverse

library(tidyverse) 
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.0.4     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

Mtcars

data(mtcars)

Mtcars2

head(mtcars) 
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

tidyverse histogram

ggplot(data = mtcars, aes(x = wt)) + geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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